Remove unused imports

app.py

@@ -24,7 +24,7 @@ logging.basicConfig(level=logging.INFO)
 logger = setup_logger(__name__)
 
 
-intro_md = f"""
+intro_md = """
 # Intro
 This is a visual for the auto evaluator. 
 """

src/backend/run_eval_suite_harness.py

@@ -3,10 +3,10 @@ import os
 import logging
 from datetime import datetime
 
-from lm_eval import tasks, evaluator, utils
+from lm_eval import evaluator, utils
 from lm_eval.tasks import TaskManager
 
-from src.envs import RESULTS_REPO, API
+from src.envs import API
 from src.backend.manage_requests import EvalRequest
 from src.logging import setup_logger
 

src/backend/run_eval_suite_lighteval.py

@@ -1,16 +1,12 @@
 import json
-import argparse
 import logging
-from datetime import datetime
 
-import lighteval
 from lighteval.logging.evaluation_tracker import EvaluationTracker
 from lighteval.models.model_config import InferenceEndpointModelConfig
 from lighteval.pipeline import ParallelismManager, Pipeline, PipelineParameters
 
-from lighteval.main_accelerate import main, EnvConfig, create_model_config
 
-from src.envs import RESULTS_REPO, CACHE_PATH, TOKEN
+from src.envs import RESULTS_REPO
 from src.backend.manage_requests import EvalRequest
 from src.logging import setup_logger
 
@@ -85,7 +81,7 @@ def run_evaluation(eval_request: EvalRequest, task_names: str, batch_size: int,
         dumped = json.dumps(results, indent=2)
         logger.info(dumped)
 
-    except Exception as e: # if eval failed, we force a cleanup
+    except Exception: # if eval failed, we force a cleanup
         pipeline.model.cleanup()
 
     return results

src/backend/sort_queue.py

@@ -1,4 +1,3 @@
-import re
 from dataclasses import dataclass
 
 from huggingface_hub import HfApi

src/display/log_visualizer.py

@@ -1,5 +1,4 @@
 from io import StringIO
-from pathlib import Path
 
 from bs4 import BeautifulSoup
 from rich.console import Console

src/logging.py

@@ -1,4 +1,3 @@
-import sys
 from pathlib import Path
 
 proj_dir = Path(__file__).parents[1]